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Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model

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  • Li, Qing
  • Liao, Feixiong
  • Timmermans, Harry J.P.
  • Huang, Haijun
  • Zhou, Jing

Abstract

Free-floating car-sharing (FFC) has recently received increasing attention due to the flexibility in mobility services. Existing studies related to FFC mainly focus on the analysis of operational management and user preferences. Efforts to model the dynamic choices of free-floating shared cars (SCs) in individuals’ daily multi-modal multi-activity trip chains have still been rare. This study proposes a tolerance-based dynamic user equilibrium model of activity-travel scheduling that formulates free-floating SC as an alternative transport mode for conducting daily activities. The model embeds the choice of SC into daily trip chains by extending the state-of-the-art multi-state supernetwork representation. The dynamic traffic flows and supply-demand interactions of SCs are captured endogenously. Moreover, traveler heterogeneity and different pricing schemes are taken into account. A path-flow swapping method is suggested to solve the tolerance-based dynamic user equilibrium model. Numerical examples of various scenarios demonstrate that fleet size, distribution, and rental-parking price of FFC significantly influence the choice of SC and activity-travel pattern.

Suggested Citation

  • Li, Qing & Liao, Feixiong & Timmermans, Harry J.P. & Huang, Haijun & Zhou, Jing, 2018. "Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 102-123.
  • Handle: RePEc:eee:transb:v:107:y:2018:i:c:p:102-123
    DOI: 10.1016/j.trb.2017.11.011
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    18. Fu, Xiao & Wu, Youqi & Huang, Di & Wu, Jianjun, 2022. "An activity-based model for transit network design and activity location planning in a three-party game framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    19. Wang, Dong & Liao, Feixiong & Gao, Ziyou & Rasouli, Soora & Huang, Hai-Jun, 2020. "Tolerance-based column generation for boundedly rational dynamic activity-travel assignment in large-scale networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    20. Wei Zhou & Haixia Wang & Victor Shi & Xiding Chen, 2022. "A Decision Model for Free-Floating Car-Sharing Providers for Sustainable and Resilient Supply Chains," Sustainability, MDPI, vol. 14(13), pages 1-18, July.
    21. Nguyen, Tri K. & Hoang, Nam H. & Vu, Hai L., 2022. "A unified activity-based framework for one-way car-sharing services in multi-modal transportation networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    22. Wang, Dong & Liao, Feixiong & Gao, Ziyou & Timmermans, Harry, 2019. "Tolerance-based strategies for extending the column generation algorithm to the bounded rational dynamic user equilibrium problem," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 102-121.
    23. Soppert, Matthias & Steinhardt, Claudius & Müller, Christian & Gönsch, Jochen & Bhogale, Prasanna M., 2023. "Matching functions for free-floating shared mobility system optimization to capture maximum walking distances," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1194-1214.
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    25. Jochem, Patrick & Frankenhauser, Dominik & Ewald, Lukas & Ensslen, Axel & Fromm, Hansjörg, 2020. "Does free-floating carsharing reduce private vehicle ownership? The case of SHARE NOW in European cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 373-395.

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